Staff Silicon Engineer

Job Title Staff Silicon Engineer About Cognichip - At Cognichip, we are building AI-native tools that transform how semiconductor engineers create, verify, and optimize chips.- Our platform combines large proprietary models, agentic workflows, domain-specific engineering intelligence, and high-performance simulation infrastructure to accelerate one of the world's most complex engineering disciplines. About the Role - We are seeking a Staff Silicon Engineer who can combine strong software engineering, applied AI/ML, and semiconductor-domain understanding to build production-grade tools for chip design and verification.- In this role, you will help turn advanced research ideas into practical workflows used by engineers designing real silicon.- This work matters because chip design is becoming too complex for traditional workflows alone, and AI-native engineering systems can meaningfully change the speed, quality, and scale of semiconductor development. Key Responsibilities - Bridge Hardware and Software: Translate deep semiconductor domain expertise into robust software requirements and implementations.- Develop Agentic Data Pipelines: Architect and implement agentic workflows specifically designed to generate synthetic or augmented RTL and UVM code, creating essential datasets for training and fine-tuning advanced AI models.- Agentic Workflow Optimization: Fine-tune and optimize agentic workflow for domain-specific engineering tasks such as RTL generation, verification planning, and bug triage.- Infrastructure Development: Build and maintain high-performance simulation and testing infrastructure to validate AI-generated hardware designs.- Technical Leadership: Provide mentorship to junior engineers and lead cross-functional projects involving AI researchers and hardware architects. Required Qualifications - Experience: 8+ years of experience in silicon design, verification, or hardware-focused software development.- Semiconductor Domain: Deep understanding of the ASIC/FPGA design lifecycle in at least two of the three phases: RTL design (Verilog/SystemVerilog), UVM-based verification, and physical design flows.- EDA Tools: Experience with, and being a power user of, commercial EDA tools from major vendors (Cadence, Synopsys, Mentor/Siemens).- Software Proficiency: Strong programming skills in Python, C++, or similar languages, with experience in building scalable software systems.- AI/ML Knowledge: Practical experience with LLMs, prompt engineering, or machine learning frameworks (PyTorch/TensorFlow) applied to technical domains.- Education: MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Preferred Qualifications - Experience with LangSmith and LangGraph to build Agentic workflow..- Background in computer architecture, specifically for AI accelerators or high-performance computing.- Contributions to open-source hardware or AI projects. What It's Like Here - We’re a fast-moving AI startup with a collaborative, high-trust culture.- We value technical excellence, ownership, and the freedom to experiment.- Our best work happens when our builders and innovators work closely together to turn ambitious ideas into category defining products.- We operate on a hybrid schedule with four days in office, one day remote.- If you’re excited to build cutting edge tools that empower semiconductor engineers and reshape how chips are designed, you’ll feel right at home.